//
//  ConcatTest.cpp
//  MNNTests
//
//  Created by MNN on 2019/01/15.
//  Copyright © 2018, Alibaba Group Holding Limited
//
#include <MNN/expr/Expr.hpp>
#include <MNN/expr/ExprCreator.hpp>
#include "MNNTestSuite.h"
#include "TestUtils.h"

using namespace MNN::Express;
class ConcatTest : public MNNTestCase {
public:
    virtual ~ConcatTest() = default;
    virtual bool run() {
        auto input1 = _Input({2,2}, NCHW);
        input1->setName("input1");
        // set input data
        const float input1_data[] = {1.0, 2.0, 3.0, 4.0};
        auto input1Ptr          = input1->writeMap<float>();
        memcpy(input1Ptr, input1_data, 4 * sizeof(float));
        input1->unMap();
        auto input2 = _Input({2,2}, NCHW);
        input2->setName("input2");
        // set input data
        const float input2_data[] = {5.0, 6.0, 7.0, 8.0};
        auto input2Ptr          = input2->writeMap<float>();
        memcpy(input2Ptr, input2_data, 4 * sizeof(float));
        input2->unMap();
        auto output = _Concat({input1, input2}, 1);
        const std::vector<float> expectedOutput = {1.0 , 2.0, 5.0, 6.0, 3.0, 4.0, 7.0, 8.0};
        auto gotOutput = output->readMap<float>();
        if (!checkVector<float>(gotOutput, expectedOutput.data(), 8, 0.0001)) {
            MNN_ERROR("ConcatTest test failed!\n");
            return false;
        }
	const std::vector<int> expectedDim = {2, 4};
	auto gotDim = output->getInfo()->dim;
        if (!checkVector<int>(gotDim.data(), expectedDim.data(), 2, 0)) {
            MNN_ERROR("ConcatTest test failed!\n");
            return false;
        }
        return true;
    }
};
MNNTestSuiteRegister(ConcatTest, "op/concat");
